Triple
T19595828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preah Ream |
E470344
|
entity |
| Predicate | epicGenre |
P34273
|
FINISHED |
| Object | Khmer adaptation of the Ramayana |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Khmer adaptation of the Ramayana | Statement: [Preah Ream, epicGenre, Khmer adaptation of the Ramayana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epicGenre Context triple: [Preah Ream, epicGenre, Khmer adaptation of the Ramayana]
-
A.
epic
Indicates that an entity is characterized as grand, heroic, or extraordinarily impressive in scale, style, or impact.
-
B.
nationalEpic
chosen
Indicates that one work is regarded as the principal epic narrative representing the history, culture, or identity of a nation.
-
C.
visualGenre
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic genre.
-
D.
gameGenreContext
Indicates the genre or type of game associated with a given game entity or gaming context.
-
E.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407a09608190aa1df92f8c21f9e7 |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.